[Piglit] [PATCH] generated_tests: work around bug in Windows numpy implementation.

[Paul Berry]

On 9 September 2011 06:47, Paul Berry <stereotype441 at gmail.com> wrote:

> Paul,
>>
>> This is not a windows specific bug. It looks like numpy creates many
>> identical type objects on all OSes, so type object identity/equality means
>> nothing.
>>
>> Take for example what "pydoc numpy" outputs on my Linux system:
>>
>> CLASSES
>>    __builtin__.object
>>        broadcast
>>        dtype
>>        flatiter
>>        generic
>> [...]
>>            number
>> [...]
>>                integer
>>                    signedinteger
>>                        int16
>>                        int16
>>                        int32
>>                        int32
>>                        int64(signedinteger, __builtin__.int)
>>                        int64(signedinteger, __builtin__.int)
>>                        int64(signedinteger, __builtin__.int)
>>                        int64(signedinteger, __builtin__.int)
>>                        int64(signedinteger, __builtin__.int)
>>                        int8
>>                        int8
>>                    unsignedinteger
>>                        uint16
>>                        uint16
>>                        uint32
>>                        uint32
>>                        uint64
>>                        uint64
>>                        uint64
>>                        uint64
>>                        uint64
>>                        uint8
>>                        uint8
>>
>> You were just lucky on Linux so far, and Windows unlucky, but your luck
>> may change with different numpy versions, and or other systems. Who knows.
>>
>
> Wow.  That is enough to convince me that my change is too brittle.  Good
> call, Jose.
>
> Do you have any idea if the developers of numpy know about this?  It seems
> like a bug to me, and I want to file a bug report, but unfortunately the
> server at projects.scipy.org is giving me errors.  I'll try again later
> today.
>

Ok, bug report filed, if anyone is curious to follow along:
http://projects.scipy.org/numpy/ticket/1950
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